Journals / Atmospheric Pollution Research / 2020 / Cilt: 11 - Sayı: 3

Coarse, fine and ultrafine particles of sub-urban continental aerosols measured using an 11-stage Berner cascade impactor

Pages
499–510
DOI
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

In addition, the dependence of particle concentrations for each fraction investigated versus meteorological parameters was determined.

📌 3 Key Takeaways

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Objective & Hypothesis:The main aim of this work is characterization of atmospheric aerosol using 11 stage cascade impactor.
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Key Findings & Data:The first investigation of size-segregated sub-urban aerosols from the continental part of the Balkan peninsula in 11 fractions in the range of 0.0085 < Dp < 16 μm was performed from March 2012 to December 2013.
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Conclusion & Impact:In addition, the dependence of particle concentrations for each fraction investigated versus meteorological parameters was determined.
🔬Design:Modeling & Simulation
📍Scope:2012 Verileri
⚙️Variables:Domain Parameters

Özet

The main aim of this work is characterization of atmospheric aerosol using 11 stage cascade impactor. The first investigation of size-segregated sub-urban aerosols from the continental part of the Balkan peninsula in 11 fractions in the range of 0.0085 < Dp < 16 μm was performed from March 2012 to December 2013. Aerosols were measured at the Zeleno Brdo observatory (ϕ = 44°48’; λ = 20°28′–243 m above sea level), the highest landmark on the eastern side of Belgrade. Zeleno Brdo is surrounded by wooded vegetation and comprises of both southern facing rural and north-west orientated urban areas. About 70% of total aerosols are fine particles, belonging especially to the PM0.53–1.06 fraction which is found to be more pronounced in winter period. In this work, we applied tests of probability function models for three distributions: normal, log-normal and threeparameter Weibull, by comparing expected and observed values. We found that these models offer the possibility to determine whether the dominant emission source was the vicinity or distance of the measuring point. Results of this test could be a significant supplement to existing multivariate mathematical models for source apportionment, providing accurate estimation of the origin of emission sources and offering information on their position relative to the investigated area (local, regional or remote). In addition, the dependence of particle concentrations for each fraction investigated versus meteorological parameters was determined.

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Cite This Article

DORDEVIC, D., DURICIC-MILANKOVIC, J., PANTELIC, A., PETROVIC, S. A., GAMBARO, A. (2020). Coarse, fine and ultrafine particles of sub-urban continental aerosols measured using an 11-stage Berner cascade impactor. Atmospheric Pollution Research, Cilt: 11 - Sayı: 3, 499–510. https://ajindex.com/articles/148296

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References (10)

  1. Almeida, S.M., Pio, C.A., Freitas, M.C., Reis, M.A., Trancoso, M.A., 2005. Source apportionment of fine and coarse particulate matter in a sub-urban area at the Western European Coast. Atmos. Environ. 39, 3127–3138. 2016 (May 2018. Ambient (AAP) Air pollution Attributable Burden of Disease. World Health Organization, Geneva. http://www.who.int/airpollution/data/aap_bod_ may2018_v0.xlsx?ua=1. Asadi, S., Hassan, M., Kevern, J., Rupnow, T., 2012. Development of photocatalytic pervious concrete pavement for air and storm water improvements. Transp. Res. Rec. J. Transp. Res. Board 2290, 161–167. https://doi.org/10.3141/2290-21.
  2. Azarmi, F., Kumar, P., Mulheron, M., 2014. The exposure to coarse, fine and ultrafine particle emissions from concrete mixing, drilling and cutting activities. J. Hazard Mater. 279, 268–279. https://doi.org/10.1016/j.jhazmat.2014.07.003.
  3. Babu, S.S., Kompalli, S.K., Moorthy, K.K., 2016. Aerosol number size distributions over a coastal semi urban location: seasonal changes and ultrafine particle bursts. Sci. Total Environ. 563–564, 351–365. https://doi.org/10.1016/j.scitotenv.2016.03.246.
  4. Berner, A., 1972. Praktische Erfahrungen mit einem 20-Stufen-Impactor. Staub Reinhalt. Luft 32, 315. Buchholz, B.A., Zermeño, P., Hwang, H.-M., Young, T.M., Guilderson, T.P., 2010. Measuring submicron-sized fractionated particulate matter on aluminum impactor disks. Radiocarbon 52 (2), 278–285.
  5. Cabada, J.C., Rees, S., Takahama, S., Khlystov, A.N., Pandis, S., Davidson, C.I., Robinson, A.L., 2004. Mass size distributions and size resolved chemical composition of fine particulate matter at the Pittsburgh supersite. Atmos. Environ. 38, 3127–3141.
  6. Cheng, Y., Engling, G., He, K.-B., Duan, F.K., Ma, Y.L., Du, Z.Y., Liu, J.-M., Zheng, M., Weber, R.J., 2013. Biomass burning contribution to Beijing aerosol. Atmos. Chem. Phys. 13, 7765–7781. https://doi.org/10.5194/acp-13-7765-2013.
  7. Colbeck, I., Lazaridis, M., January 2014. Aerosol Science: Technology and Applications. Wiley978-1-119-97792-6.
  8. Connan, O., Maro, D., Hébert, D., Roupsard, P., Goujon, R., Letellier, B., Le Cavelier, S., 2013. Wet and dry deposition of particles associated metals (Cd, Pb, Zn, Ni, Hg) in a rural wetland site, Marais Vernier, France. Atmos. Environ. 67, 394–403.
  9. Contini, D., Genga, A., Cesari, D., Siciliano, M., Donateo, A., Bove, M.C., Guascito, M.R., 2010. Characterisation and source apportionment of PM10 in an urban background sitein Lecce. Atmos. Res. 95, 40–54.
  10. Csavina, J., Field, J.